Grounded by design
Every system is anchored to verified organizational data, with retrieval and citation paths that make outputs reviewable.
Get a production-ready AI system — agents, copilots and RAG — wired into the tools your team already uses. First working version in weeks, not quarters.
A scoped pilot in production with measurable acceptance criteria, not a slide deck.
You receive a written delivery plan with milestones, owners and pricing before work starts.
Retrieval, citations, access control and human approval gates on every consequential action.
We design and deploy applied AI systems that sit inside real business workflows — retrieval, reasoning, and agentic execution wired to the systems your organization already runs on.
Method
Every system is anchored to verified organizational data, with retrieval and citation paths that make outputs reviewable.
We define acceptance criteria before deployment and instrument evaluations that run against production traffic.
Consequential decisions retain explicit human review, escalation and override controls.
Outcomes
We start with a structured discovery session, map the constraint, and return a delivery plan with milestones, owners and measurable acceptance criteria.
Questions
Straight answers on cost, timelines and how we work — so you can decide quickly.
Most pilots start in the low five figures (USD) and scale with integration surface. You get a fixed-scope quote after a free 30-minute scoping call — no commitment.
A focused agent or document-intelligence pilot typically reaches production in 4–8 weeks. Enterprise rollouts run in staged phases after that.
Yes. We integrate with CRMs, ERPs, ticketing, data warehouses and internal APIs, and we build the integration layer when one does not exist.
Every answer is grounded in verified sources with citations, evaluated against acceptance criteria, and routed to human review where the outcome is consequential.